Sotabase

Career

· Lecturer, University of Queensland2020–2023
· Senior Researcher, Big Data Group, International Computer Science Institute (ICSI)2017–
· Professor, University of Queensland2017–
· Postdoctoral Researcher, University of California, Berkeley2015–2017
· PhD Student, University of British Columbia2010–2015

Publications (46)

Evolution and application of digital technologies to predict crop type and crop phenology in agriculture
in silico Plants · 2021
55
cited
DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization
Neural Information Processing Systems · 2019
46
cited
Average-reward model-free reinforcement learning: a systematic review and literature mapping
arXiv.org · 2020
38
cited
The reproducing Stein kernel approach for post-hoc corrected sampling
2020
29
cited
Newton-MR: Newton's Method Without Smoothness or Convexity
arXiv.org · 2018
25
cited
GPU Accelerated Sub-Sampled Newton's Method for Convex Classification Problems
SDM · 2019
24
cited
Inexact Nonconvex Newton-Type Methods
INFORMS Journal on Optimization · 2021
17
cited
Newton-MR: Inexact Newton Method with minimum residual sub-problem solver
EURO Journal on Computational Optimization · 2018
17
cited
Implicit Langevin Algorithms for Sampling From Log-concave Densities
Journal of machine learning research · 2019
16
cited
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data
Journal of machine learning research · 2019
16
cited
Convergence of Newton-MR under Inexact Hessian Information
SIAM Journal on Optimization · 2019
15
cited
Inexact Newton-CG algorithms with complexity guarantees
IMA Journal of Numerical Analysis · 2021
15
cited
A Newton-MR algorithm with complexity guarantees for nonconvex smooth unconstrained optimization
2022
13
cited
Richer priors for infinitely wide multi-layer perceptrons
arXiv.org · 2019
12
cited
Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology
bioRxiv · 2022
11
cited
Newton-ADMM: A Distributed GPU-Accelerated Optimizer for Multiclass Classification Problems
International Conference for High Performance Computing, Networking, Storage and Analysis · 2018
11
cited
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
AAAI Conference on Artificial Intelligence · 2020
10
cited
MINRES: From Negative Curvature Detection to Monotonicity Properties
SIAM Journal on Optimization · 2022
10
cited
Stochastic continuous normalizing flows: training SDEs as ODEs
Conference on Uncertainty in Artificial Intelligence · 2021
10
cited
The Interpolating Information Criterion for Overparameterized Models
arXiv.org · 2023
10
cited
Sotabase
Fred Roosta | Researcher Profile | Sotabase | Sotabase